A note on the applicability of log-Gumbel and log-logistic probability distributions in hydrological analyses: I. Known pdf
By Pawel M. Rowinski, W. Strupczewski, Vijay P. Singh. 2002
53 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/9c02a68c56abc15f30d099b4d2841bc2a48bcafe
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- F. Kolyva-Machera
- Muhammad Farooq
- Christina Anagnostopoulou
- M. S. Khattak
- Muhammad Shafique
- Georgia Lazoglou
- K. Tolika
In Water Science and Technology
Citations in the corpus
- A review of statistical methods to analyze extreme precipitation and temperature events in the Mediterranean region (2019, methodology): “The L-moments method is based on linear combinations of probability-weighted moments (PWMs), and it is commonly applied in the study of extremes due to its near lack of bias and low sensitivity to outliers (Rowinski et al. 2002).”
- Flood frequency analysis of river swat using Log Pearson type 3, Generalized Extreme Value, Normal, and Gumbel Max distribution methods (2018, background): “The MOM technique is good for limited range of parameters, while L-Moments are unbiased and more widely used (Rowinski et al. 2002).”